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- Tasks: Design and deliver cutting-edge AI solutions on Azure for a leading enterprise.
- Company: Join a forward-thinking manufacturing organisation with 50+ AI initiatives this year.
- Benefits: 100% remote work, competitive pay, and potential for full-time conversion.
- Other info: Exciting opportunity for career growth in a dynamic and supportive environment.
- Why this job: Be at the forefront of AI innovation and make a real impact in the industry.
- Qualifications: Proven experience in delivering AI solutions and strong skills in Azure technologies.
The predicted salary is between 70000 - 90000 £ per year.
Role: AI Solutions Architect (Azure)
Location: 100% remote
Start date: May 2026
Length: 12 month contract, with option to extend or convert to full time
About: Enterprise manufacturing organisation with 50+ AI initiatives launching this year. Looking for a Senior AI Solutions Architect to design and deliver production-grade AI solutions within Azure.
Essential Skills:
- Proven delivery of AI solutions into live production environments on Azure
- Deep experience with Azure OpenAI, Azure Machine Learning, and Cognitive Services
- Must have owned end-to-end solution architecture (not advisory or PoC work)
- Strong NLP and/or Computer Vision background
- Hands-on experience with MLOps, CI/CD, and scalable deployment pipelines
Nice to have:
- Experience with LLM tooling (n8n, Dify, Ollama, or similar)
- Exposure to Responsible AI, governance, and enterprise controls
AI Architect employer: Darwin Recruitment
Contact Detail:
Darwin Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous AI projects, especially those involving Azure. We want to see your hands-on experience and how you've tackled real-world challenges.
✨Tip Number 3
Prepare for the interview like it’s the final exam! Brush up on your technical knowledge, especially around Azure OpenAI and MLOps. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Architect role. Highlight your experience with Azure, especially any hands-on projects you've delivered in production environments. We want to see how your skills match up with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI solutions and how your background aligns with our initiatives. We love seeing genuine enthusiasm for the role and the company.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include specific examples of your work with Azure OpenAI, Machine Learning, or any NLP and Computer Vision projects. We want to see what you can bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Darwin Recruitment
✨Know Your Azure Inside Out
Make sure you’re well-versed in Azure OpenAI, Azure Machine Learning, and Cognitive Services. Brush up on your hands-on experience with MLOps and CI/CD processes, as these will likely come up during the interview. Being able to discuss specific projects where you've implemented these technologies will really impress.
✨Showcase Your End-to-End Experience
Since the role requires owning end-to-end solution architecture, prepare to share detailed examples of past projects where you’ve designed and delivered AI solutions into live production environments. Highlight your decision-making process and how you tackled challenges along the way.
✨Demonstrate Your NLP and Computer Vision Skills
Be ready to dive deep into your experience with Natural Language Processing and Computer Vision. Prepare to discuss specific algorithms or models you’ve worked with, and how they contributed to the success of your projects. This will show that you have the technical chops for the role.
✨Familiarise Yourself with Responsible AI
While it’s a nice-to-have, having knowledge about Responsible AI and governance can set you apart from other candidates. Research best practices and be prepared to discuss how you would implement these principles in your work. It shows you’re not just technically skilled but also ethically aware.